公开(公告)号：US20240419154A1

公开(公告)日：2024-12-19

申请号：US18336491

申请日：2023-06-16

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Masoud ABBASZADEH ,  Johan Michael REIMANN ,  Hema K ACHANTA

IPC: G05B19/418

Abstract: In some embodiments, a system node data store may contain historical system node data associated with normal operation of an industrial asset, and a plurality of artificial intelligence model construction platforms may receive historical system node data. Each platform may then automatically construct a data-driven, dynamic artificial intelligence model associated with the industrial asset based on received system node data. The plurality of artificial intelligence models are interconnected and simultaneously trained to create a digital twin of the industrial asset. A synthetic disturbance platform may inject at least one synthetic disturbance into the plurality of artificial intelligence models to create, for each of a plurality of monitoring nodes, a series of synthetic disturbance monitoring node values over time that represent simulated abnormal operation of the industrial asset.